Risk analysis of Geomagnetically Induced Current (GIC) in Power Systems
(2012) In CODEN:LUTEDX/TEIE EIE920 20121Industrial Electrical Engineering and Automation
 Abstract
 Solar storms are a phenomenon that has a wide array of adverse consequences on technological systems,
power systems in particular. During severe solar storms a geomagnetically induced current (GIC) starts to flow
through long conducting structures, such as power lines and pipelines. The probability of solar storms has a
roughly linear relation with the sunspot activity level which varies in 11 years cycles and at the moment of
writing this thesis we are approaching the maxima of solar cycle 24. This thesis is a risk analysis of GIC in power
systems and describes the causes and sources of GIC, the consequences, both on component level and on
system level, and the likelihood of occurrence.
When GIC flows through a transformer it... (More)  Solar storms are a phenomenon that has a wide array of adverse consequences on technological systems,
power systems in particular. During severe solar storms a geomagnetically induced current (GIC) starts to flow
through long conducting structures, such as power lines and pipelines. The probability of solar storms has a
roughly linear relation with the sunspot activity level which varies in 11 years cycles and at the moment of
writing this thesis we are approaching the maxima of solar cycle 24. This thesis is a risk analysis of GIC in power
systems and describes the causes and sources of GIC, the consequences, both on component level and on
system level, and the likelihood of occurrence.
When GIC flows through a transformer it causes the core to saturate, which leads to (a) increased reactive
power consumption, (b) high levels of harmonics in the power system and (c) localized heating of the
transformer. Point a and b are confirmed through simulations. High harmonics levels can cause protective
relays to sense false fault conditions and trip. On a system level this can lead to (a) loss of production (b) local
blackouts or (c) widespread blackouts. Localized heating of transformers can lead to permanent damage and
spare parts and replacement units are associated with having long lead times. Communication and control
systems are also subject to GIC and other solar storm related interferences. The thesis also contains a
discussion about GIC risk associated to gas pipelines.
The likelihood of solar storms is discussed and a method for determining the exceedance probability of
extreme values for solar storms such as a 100year storm is presented. The exceedance probability of a 100
year storm during 20122014 is estimated to 4.7%.
Possible risk treatment strategies and forecasting capabilities are also briefly discussed, in order to briefly
illustrate possible risk management schemes.
This report should facilitate risk evaluation and provide the information needed to calculate quantitative risk
values with respect to solar storms and power systems.
In order to fully understand the extent of the consequences of a 100year storm further studies are needed in
order to take the complexities of covariance and the interconnectedness of different components and systems
into account. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/studentpapers/record/3731796
 author
 Thornberg, Rasmus
 supervisor

 Olof Samuelsson ^{LU}
 Jonas Johansson ^{LU}
 organization
 course
 EIE920 20121
 year
 2012
 type
 H3  Professional qualifications (4 Years  )
 subject
 publication/series
 CODEN:LUTEDX/TEIE
 report number
 5296
 language
 English
 id
 3731796
 date added to LUP
 20130521 08:47:54
 date last changed
 20140904 08:29:55
@misc{3731796, abstract = {Solar storms are a phenomenon that has a wide array of adverse consequences on technological systems, power systems in particular. During severe solar storms a geomagnetically induced current (GIC) starts to flow through long conducting structures, such as power lines and pipelines. The probability of solar storms has a roughly linear relation with the sunspot activity level which varies in 11 years cycles and at the moment of writing this thesis we are approaching the maxima of solar cycle 24. This thesis is a risk analysis of GIC in power systems and describes the causes and sources of GIC, the consequences, both on component level and on system level, and the likelihood of occurrence. When GIC flows through a transformer it causes the core to saturate, which leads to (a) increased reactive power consumption, (b) high levels of harmonics in the power system and (c) localized heating of the transformer. Point a and b are confirmed through simulations. High harmonics levels can cause protective relays to sense false fault conditions and trip. On a system level this can lead to (a) loss of production (b) local blackouts or (c) widespread blackouts. Localized heating of transformers can lead to permanent damage and spare parts and replacement units are associated with having long lead times. Communication and control systems are also subject to GIC and other solar storm related interferences. The thesis also contains a discussion about GIC risk associated to gas pipelines. The likelihood of solar storms is discussed and a method for determining the exceedance probability of extreme values for solar storms such as a 100year storm is presented. The exceedance probability of a 100 year storm during 20122014 is estimated to 4.7%. Possible risk treatment strategies and forecasting capabilities are also briefly discussed, in order to briefly illustrate possible risk management schemes. This report should facilitate risk evaluation and provide the information needed to calculate quantitative risk values with respect to solar storms and power systems. In order to fully understand the extent of the consequences of a 100year storm further studies are needed in order to take the complexities of covariance and the interconnectedness of different components and systems into account.}, author = {Thornberg, Rasmus}, language = {eng}, note = {Student Paper}, series = {CODEN:LUTEDX/TEIE}, title = {Risk analysis of Geomagnetically Induced Current (GIC) in Power Systems}, year = {2012}, }